I don’t think you even need the actual stuff to train a neural network to recognize it. For example, if I wanted to train a neural network to recognize pictures of lions, but I didn’t have any actual pictures of lions, I could use pictures of lion-shaped things, lion-colored things and locations where lions might appear. If a picture is hitting all three of those, it’s very likely to be a lion. Very likely is all a neural network can do, so it’s good enough for my purposes.
It is a bad thing, it’s not like they planned it ahead of time and prepared for the consequences of population decline. The entire system is designed around a growing population and if that growth turns negative, so does the government’s budget.
Why shouldn’t you go the forest at noon?
That’s when the ripe elephants fall from the trees.
Why does the alligator have such a flat nose?
Because he went to the forest at noon.
Bonus points if you space them out a bit with unrelated jokes.
More at stake than Bush vs Gore? Bro forgot about the 20 year war already
Lol, I was very carefully studying the left edge of the cake pop and then I looked at the label at the bottom: Bumblebee Cake Pnblebee Cake Po
Available image generators are already capable of generating those images and they weren’t even trained on it. Once a neural network can detect/generate two separate concepts, it can detect/generate the overlap. It won’t be as fine-tuned obviously, but can still turn out scarily accurate.